About Me

I am a computational neuroscientist working in the Milstein Lab at the Center for Advanced Biotechnology & Medicine at Rutgers University. My research covers topics at the intersection of Neuroscience and Artificial Intelligence, with a focus on using tools from machine learning to understand how the brain learns and use neuroscience principles to build better neuromorphic computers.

Broadly I build artificial neural networks with biologically inspired computing elements, such as incorporating separate dendrite-targeting interneuron populations to help networks locally estimate gradients and learn robust representations. I have also used some of the insights from theoretical modelling of dendrite-dependent synaptic plasticity in the brain to inspire new applications of Mott insulator tranisitons in phase change materials (VO2 thin-films). These insight led to the design of analog electronic circits to implement new learning rules on neuromorphic hardware.

I did my PhD work at the Francis Crick Institute and University College London under supervision of Prof. Ede Rancz, where I uncovered novel properties of dendritic spikes in L5 pyramidal neurons in the visual cortex.